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Analysis of The Effect of Remittance on Economic Growth in Developing Countries East Asia and Pacific Region Firdan Belado Romadona; Wisnu Wibowo; Hairul Rahman
MediaTrend Vol 16, No 2 (2021): OKTOBER
Publisher : Trunojoyo University of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/mediatrend.v16i2.10052

Abstract

This study determine how remittances affect economic growth in the developingcountries of East Asia and the Pacific region. The type of data in this study issecondary data with the form of panel data. This research was conducted in the period 2000-2019 in 11 developing countries in East Asia and the Pacific region. This study used Random Effect Model estimation to determine the influence ofindependent variables, namely GDP per capita with dependent variables, namelyremittances, working-age population, FDI, and trade openness. The result showsthat variable remittances and working-age populations positively and significantlyimpact economic growth in developing countries in East Asia and the Pacific region.The estimated results for FDI variables negatively and significantly affect developingcountries economic growth in East Asia and the Pacific region. Estimates for tradeopenness variables have no significant effect on developing countries economicgrowth in East Asia and the Pacific region.
Impact of Corruption Index to Indonesian Rubber (Hs-4001) Export Hairul Rahman; Unggul Heriqbaldi; Firdan Belado Romadona
MediaTrend Vol 17, No 1 (2022): MARET
Publisher : Trunojoyo University of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/mediatrend.v17i1.10414

Abstract

This study aims to see the impact of the corruption index which is suspected to be a barrier to Indonesia's rubber exports (HS-4001) to 30 major importing countries during the period 2010 - 2019. The type of data in this study is secondary data in the form of panel data with an estimated fixed effect model (FEM). to see the effect of the independent variables CPIS, ECONS, POPS and FDI on the dependent variable Indonesian rubber exports (HS-4001). The estimation results in this study indicate that the corruption index has no effect on fluctuations in Indonesia's rubber exports (HS-4001) which is caused by the long expiration of rubber products (HS-4001), while the variables of economies of scale and population of scale have a positive effect with different percentages. (2.7% and 49.14%) to Indonesia's rubber exports (HS-4001), for the FDI variable itself has a negative effect on Indonesia's rubber exports (HS-4001) with a percentage of -0.4%.
PEMANFAATAN LIMBAH TEMPURUNG KELAPA DAN GETAH NANGKA DALAM PEMBUATAN BIOBRIKET Rahman, Hairul; Priyagung Hartono; Mochammad Basjir
RING ME Vol 3 No 2 (2023): RING Mechanical Engineering
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/rm.v3i2.21439

Abstract

ABSTRACTBiomass is material obtained from plants, either directly or indirectly, and used as energy or materials in large quantities. Using plantation waste, namely coconut shells which will be processed into solid fuel, namely (briquettes). The coconut shell is carbonated into charcoal which will be mashed into a charcoal surge with mesh size 40, mesh 60 and mesh 80. Using charcoal powder as much as 28 grams, 26 grams, and 22 grams which will be mixed with nagka sap as much as 7 grams, 8 grams, and 12 grams. Briquettes are printed using hollow iron with a size of 3x3 cm and will be dried in the sun for 4 days of drying. Test parameters include moisture content test, combustion rate test, calorific value test. The results showed that the briquettes in mesh 80 with the addition of jackfruit sap adhesive of 28 grams of charcoal and 8 grams of jackfruit sap had the best calorific value of 6643.84 ccal/grammwith a burningg rate of 0.221 grams/minutee and a moisture content of 8.71%.Keywords : Biomass, Briquettes, Coconut Shell, Jackfruit Sap
PENGARUH PELATIHAN DAN MOTIVASI KERJA TERHADAP PRODUKTIVITAS KERJA KARYAWAN DI PT. GARAM KALIANGET SUMENEP Arifin, Fausi; Rahman, Hairul; Katsir Al Aziz, Moh Sofwan; Hidayat, Nurul
Jurnal Riset Manajemen Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha Program Magister Manajemen Vol. 12 No. 2 (2025): Jurnal Riset Manajemen
Publisher : Program Magister Manajemen STIE Widya Wiwaha Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32477/jrm.v12i2.1231

Abstract

Employee productivity is a critical factor in determining a company’s success. Two key aspects that play a significant role in enhancing productivity are training and motivation. This study aims to analyze the influence of training and motivation on employee productivity at PT Garam Kalianget. The research employs a quantitative approach by collecting data through questionnaires distributed to employees. Data analysis is conducted using multiple linear regression to examine the relationship between training, motivation, and work productivity variables. The findings reveal that effective training has a positive and significant impact on work productivity. Similarly, high levels of motivation significantly enhance employee performance. The study concludes that companies must improve the quality of training and provide optimal motivational support to boost employee productivity.
Implementation of Service Based Business Model Application in Tobacco Products Industrial Area Management in Sumenep Regency Rahman, Hairul; Sa'adah, Siti; Safitri, Dewi Bela
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 7 No 3 (2024): Sharia Economics
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v7i3.5580

Abstract

The main problem in this study is the effectiveness of implementing the Service-Based Business Model (MBBL) in KIHT management in Sumenep Regency. The successful implementation of this model is expected to maximize the performance of KIHT management by KIHT organizers, considering that the purpose of KIHT development is to improve excise supervision (reducing the circulation of non-excise cigarettes) and improve the regional economy. This study uses a qualitative method with data collection techniques through (1) Focus Group Discussions (FGD), (2) observation, and (3) interviews with Cigarette Entrepreneurs (PR) to be able to adjust the services needed in MBBL. Based on observations that have been made using the three research methods mentioned, the Service-Based Business Model (MBBL) in KIHT management in Sumenep Regency, KIHT organizers must provide basic services through the formation of four divisions, namely: (1) Finance and Risk Management Division, (2) HR and Personnel Division, (3) Operational and Service Development Division, and (4) Development Division (Building & Property Management).
Poverty Analysis in Indonesia Based on AI (Artificial Intelligence) with ARIMA Method Al Aziz, Moh. Sofwan Kastir; Rahman, Hairul; Hidayat, Nurul; Arifin, Fauzi; Ainorrofiqie, Ainorrofiqie
MediaTrend Vol 20, No 2 (2025): OKTOBER
Publisher : Trunojoyo University of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/mediatrend.v20i2.32521

Abstract

Poverty in Indonesia is a complex and multidimensional problem, because poverty levels can be an indicator of success for the country in terms of both its development and economy. This is an important point for the government to predict or predict poverty so that it can provide a more appropriate alternative. Based on this problem, a method is needed, namely using the forecasting method (Forcasting). In this study, researchers used a model from Box Jenkins, namely the Auto Regressive Moving Average (ARIMA) to predict the future level of poverty in Indonesia. AI (Artificial Intelligence) is not widely used in terms of economy, especially on poverty issues, but AI is one of the alternatives for countries to overcome poverty. Quantitative research in this study uses the ARIMA (Auto Regressive Moving Average) analysis. The poverty dataset used is sourced from the Central Bureau of Statistics (BPS) with test data from 2010 to 2023 to 2029. AI can provide alternative recommendations to deal with poverty in the future and in addition to looking at the forecast (Forcasitng) of poverty levels for the next 5 years. Conclusion: The government can make AI one of the tools to find solutions in the form of alternatives to solve poverty problems. Thus, through AI, it can be considered by the government in providing policies for poverty problems